https://github.com/panaversity/learn-agentic-ai

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
https://github.com/panaversity/learn-agentic-ai

a2a agentic-ai dapr dapr-pub-sub dapr-service-invocation dapr-sidecar dapr-workflow docker kafka kubernetes langmem mcp openai openai-agents-sdk openai-api postgresql-database rabbitmq rancher-desktop redis serverless-containers

Last synced: 5 months ago
JSON representation

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

• Host: GitHub
• URL: https://github.com/panaversity/learn-agentic-ai
• Owner: panaversity
• License: mit
• Created: 2024-06-12T07:50:04.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-05-13T12:25:12.000Z (5 months ago)
• Last Synced: 2025-05-13T13:43:30.193Z (5 months ago)
• Topics: a2a, agentic-ai, dapr, dapr-pub-sub, dapr-service-invocation, dapr-sidecar, dapr-workflow, docker, kafka, kubernetes, langmem, mcp, openai, openai-agents-sdk, openai-api, postgresql-database, rabbitmq, rancher-desktop, redis, serverless-containers
• Language: Jupyter Notebook
• Homepage:
• Size: 134 MB
• Stars: 2,088
• Watchers: 106
• Forks: 491
• Open Issues: 16
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-ChatGPT-repositories - learn-agentic-ai - Learn Agentic AI using OpenAI Agents SDK, Autogen, CrewAI, LangGraph, and Knowledge Graphs. (Openai)
• StarryDivineSky - panaversity/learn-agentic-ai - agentic-ai 旨在学习 Agentic AI，它利用 Dapr Agentic Cloud Ascent (DACA) 设计模式和 Agent-Native 云技术。项目涵盖了 OpenAI Agents SDK、Memory、MCP、A2A、知识图谱等关键技术，并结合 Dapr、Rancher Desktop 和 Kubernetes 等云原生工具。通过本项目，你可以学习如何构建智能代理，并将其部署到云环境中。项目重点在于理解 Agentic AI 的工作原理和应用场景，以及如何利用 DACA 模式简化代理的开发和部署。它提供了一套完整的学习资源，帮助开发者快速掌握 Agentic AI 的相关技术。该项目适合对 Agentic AI 和云原生技术感兴趣的开发者。 (A01_文本生成_文本对话 / 大语言对话模型及数据)
• AiTreasureBox - panaversity/learn-agentic-ai - 10-08_3680_0](https://img.shields.io/github/stars/panaversity/learn-agentic-ai.svg)|Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.| (Repos)

README

          
# Learn Agentic AI

This repo is part of the [Panaversity Certified Agentic & Robotic AI Engineer](https://docs.google.com/document/d/15usu1hkrrRLRjcq_3nCTT-0ljEcgiC44iSdvdqrCprk/edit?usp=sharing) program. It covers AI-201 and AI-202 courses.

![Agentic AI Top Trend](toptrend.webp)

## Watch The NVIDIA CEO Jensen Huang Keynote at CES 2025

[![HR for Agents](hr.jpeg)](https://www.youtube.com/watch?v=k82RwXqZHY8 "NVIDIA CEO Jensen Huang Keynote at CES 2025")

Reference:

https://www.linkedin.com/posts/alexwang2911_aiagents-robotics-technology-activity-7282829390445453314-QLeS

**[OpenAI Agents SDK vs LangGraph vs Autogen vs CrewAI](https://composio.dev/blog/openai-agents-sdk-vs-langgraph-vs-autogen-vs-crewai/)**

The following chart clearly identifies why we are using OpenAI Agents SDK as our main framework for Agentic development:

![comparision](./comparison.png)

[Abstraction and Power in AI Agent Frameworks: A Comparative Analysis of OpenAI Agents SDK, CrewAI, AutoGen, and LangGraph](https://g.co/gemini/share/e73d75492cf4)

Also listen to this discussion: 

[Listen: AI Agent Frameworks: OpenAI, CrewAI, AutoGen & LangGraph - Decoding the Power](https://g.co/gemini/share/5e4123e6bfeb)

### AI-201: Fundamentals of Agentic AI  -  From Foundations to Autonomous Agents

AI 201 Fundamentals of Agentic AI we cover chapters: 00-06

Kickstart your journey into Agentic AI! This course provides a rapid yet comprehensive introduction to Conversational, Generative, and Agentic AI.  You'll master the foundational concepts using **OpenAI Agents SDK**, then immediately build practical Conversational AI applications to understand human-AI interaction firsthand.  The focus quickly shifts to Agentic Design Patterns, which you'll implement using OpenAI Agents SDK to create truly autonomous AI agents.  You'll become proficient with OpenAI Agents SDK, developing agents ready for real-world tasks.  Furthermore, you'll gain the unique skills to construct Model Context Protocol (MCP) servers and agents, enabling you to build next-generation augmented LLMs. Finally, we'll explore the groundbreaking potential of Agentic Payments, envisioning the future of AI in finance.

**[AI-201 Video Playlist](https://www.youtube.com/playlist?list=PL0vKVrkG4hWovpr0FX6Gs-06hfsPDEUe6)**

Note: These videos are for additional learning, and do not cover all the material taught in the onsite classes.

### AI-202: Advanced Agentic AI Engineering - Master Enterprise-Scale AI Agent Development

AI 202 Advanced Agentic AI we cover chapters: 06, 7a, 8, 8a, 9, 9a, 10, 10a, 11, and 12

Ready to engineer truly sophisticated AI agent systems?  AI-202 builds upon your AI-201 foundation to propel you into advanced Agentic AI engineering.  You'll master powerful frameworks like Microsoft AutoGen to construct complex agents for intricate tasks and advanced decision-making.  Focusing on Agent-to-Agent communication and orchestration, you'll develop enterprise-ready multi-agent solutions.  You'll build robust Model Context Protocol (MCP) servers, and then craft dynamic, user-centric agentic frontends with Next.js and TypeScript.  The course culminates in a professional project where you'll design and deploy a complete enterprise-grade agentic solution, showcasing your mastery of cutting-edge AI technologies and your readiness for the forefront of the field.